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Digital Tables Partitioning in SAP HANA 4: A Novel Method For Handling Huge Data Sets
  • Rajesh Azmeera ,
  • Rhea Khanna ,
  • Deepak nanuruyagamurthy
Rajesh Azmeera

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Rhea Khanna
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Deepak nanuruyagamurthy
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SAP HANA 4 has a time-tested and proven solution for dealing with large tables using SAP HANA, an in-memory RDBMS that is 10-1000 X faster than traditional database systems like Oracle for most data processing operations.
The speed of data processing of large data sets by the CPU depends on how the data is distributed among the tables and how the tables are managed and where they are stored.
Regardless of the RDBMS that’s being used for processing data in tables, storing huge data in a single table will result in reduced processing speed and increased processing time, making an expensive statement while reporting.